Robust fitting for the Sugeno integral with respect to general fuzzy measures

Volume: 514, Pages: 449 - 461
Published: Apr 1, 2020
Abstract
The Sugeno integral is an expressive aggregation function with potential applications across a range of decision contexts. Its calculation requires only the lattice minimum and maximum operations, making it particularly suited to ordinal data and robust to scale transformations. However, for practical use in data analysis and prediction, we require efficient methods for learning the associated fuzzy measure. While such methods are well developed...
Paper Details
Title
Robust fitting for the Sugeno integral with respect to general fuzzy measures
Published Date
Apr 1, 2020
Volume
514
Pages
449 - 461
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